AI & Automation

What AI is, how it works, and which model fits when.

1. 1What Is Artificial Intelligence? Simply ExplainedBeginnerArtificial intelligence describes software that learns from data instead of following fixed rules. Here you’ll learn what that actually means – without the jargon.
2. 2How Does AI Work? The Technology Behind the SystemsBeginnerNeural networks, training, inference: here you’ll learn, without a single formula, what actually happens inside an AI system – and where its mistakes come from.
3. 3Machine Learning Explained SimplyBeginnerMachine learning means a system derives the rules itself from data. How that works, the three types of learning that exist, and where they make an impact in marketing.
4. 4Machine Learning vs. Deep Learning: The DifferenceIntermediateDeep learning is part of machine learning, not its successor. Where exactly the difference lies, and which approach is the better choice when.
5. 5AI Models Compared: GPT, Claude, Gemini & Co.IntermediateThere's no single best AI — there's the right model for each task. An overview of the model families, their strengths, and how to choose correctly.

ChatGPT, Claude, Gemini, Copilot & co. at a glance and in comparison.

1. 6AI Tools Overview: The Most Important Tools of 2026BeginnerA map through the AI tool jungle: which categories exist, which tools lead them, and what basic toolkit makes sense to start with.
2. 7What Is ChatGPT? The Complete GuideBeginnerChatGPT is the world's best-known AI assistant — and it can do far more than write text. This guide walks you through its features, pricing tiers, practical use, and limitations.
3. 8Claude AI: Anthropic's Assistant OverviewBeginnerClaude AI is Anthropic's AI assistant — known for long contexts, strong text work, and coding. This guide covers the models, features, pricing, and the comparison to ChatGPT.
4. 9Google Gemini: Google's AI OverviewBeginnerGoogle Gemini is Google's AI assistant — and it's already built into Gmail, Docs, Android, and Search. This guide covers the models, features, pricing, and practical use.
5. 10Microsoft Copilot: AI in Windows and OfficeBeginnerMicrosoft Copilot brings AI directly into Windows, Word, Excel, and Teams – and taps into your own company data while doing it. This guide sorts out variants, licenses, and practical value.
6. 11ChatGPT Alternatives: The Best Options ComparedIntermediateChatGPT isn't the only option. This comparison shows which AI assistants genuinely keep pace, where their strengths lie, and which option fits which use case.
7. 12Using Local LLMs & Open-Source ModelsAdvancedA language model on your own machine instead of in the cloud: this guide shows which tools you need, which model fits your hardware, and where the limits are.

From prompt fundamentals to Custom GPTs and Deep Research.

1. 13What Is a Prompt? AI Input BasicsBeginnerThe prompt is the input you use to tell an AI what to do – and the biggest lever for better results. Here you'll learn its structure from the ground up.
2. 14Prompt Engineering: Fundamentals & TechniquesIntermediatePrompt engineering turns occasionally good answers into reliably good ones. These six techniques cover most of professional practice.
3. 15Writing Better Prompts: The Practical GuideIntermediateGood prompts don't happen on the first try, but on the second. These recipes and refinement commands get you to a usable result faster.
4. 16Building Custom GPTs: Create Your Own AI AssistantsIntermediateA Custom GPT is an assistant you configure once for a recurring task — no coding required. Here's how to build your first one.
5. 17Deep Research: AI Research in DepthIntermediateDeep Research delivers a sourced research overview in minutes instead of a quick answer. What matters is the brief you give it and the source-checking that follows.

Creating text, images, videos, audio, and presentations with AI.

1. 18Writing AI Text: Tools and ProcessBeginnerAI writes text in seconds — but good text only comes from a clear process. Here you'll find the workflow, the right tools, and the rules that keep quality high.
2. 19AI Image Generation: The Complete Beginner's GuideBeginnerOne sentence, one image – that's how simple image generation sounds. This guide shows you which tool is right for which job, how to structure a good prompt, and what the legal rules are.
3. 20Creating AI Videos: Tools and WorkflowsIntermediateOne sentence becomes a clip – but rarely a usable one. This guide covers the three approaches to AI video generation, the right tools for each, and a workflow that actually holds up.
4. 21Creating AI Music and AudioIntermediateA song brief, one click – the track is done. AI audio has come remarkably far, but it also raises the toughest legal questions. Here you'll find the tools, the workflow, and the framework.
5. 22Creating Presentations with AIIntermediateA slide deck in ten minutes – technically possible, rarely convincing in substance. This guide shows which approach fits which occasion, and how to keep your design intact.
6. 23Revising and Rewriting AI TextIntermediateRevising is the underrated discipline: this is where quality is made, not during generation. Here's how to edit, trim, and rephrase with AI without losing the content.

Automating workflows with n8n, Zapier, and Make — from your first automation to AI workflows.

1. 24Workflow Automation: Basics for BeginnersBeginnerWorkflow automation takes repetitive tasks off your hands — if you pick the right processes. This introduction covers the building blocks, the math behind it, and practical first examples.
2. 25AI Automation: When AI and Workflows Come TogetherIntermediateAI automation combines fixed workflow logic with language models for the steps that can't be captured in rules. This article covers patterns, examples, and limits.
3. 26n8n: The Automation Tool at a GlanceIntermediaten8n combines no-code ease of use with the freedom to run your own code and infrastructure. This guide covers its structure, the hosting question, your first workflow, and its AI building blocks.
4. 27Zapier: Automation Without CodeIntermediateZapier connects thousands of services without a single line of code. This guide explains Zaps, the task-based pricing model, the AI features, and the platform's limits.
5. 28Make: Visual Automation at a GlanceIntermediateMake maps automations as a visual scenario — with routes, loops, and error handling. This guide covers the concept, the pricing model, and a real-world example.
6. 29n8n vs. Zapier vs. Make: Which Tool Fits?IntermediateZapier, Make, or n8n? This comparison covers the three billing logics, each tool's strengths with complex processes, and a clear decision guide by use case.

Understanding, building, and productively deploying agents — from chatbots to MCP and vibe coding.

1. 30What Are AI Agents? Simply ExplainedIntermediateAn AI agent doesn't just answer questions, it completes tasks. This article explains the difference from a chatbot, the technical building blocks, and the realistic limits.
2. 31AI Agents in Action: Examples and Use CasesIntermediateWhere are AI agents actually working productively today? Four use cases with concrete examples — and a clear line between practice and hype.
3. 32Building AI Agents: The Practical GuideAdvancedFrom use case to running agent: build paths, architecture, guardrails, and the failure cases nobody thinks about in the prototype.
4. 33Building an AI Chatbot: From Idea to Live BotIntermediateAn AI chatbot is quick to set up — and just as quick to embarrass you. This guide shows which type fits your case and what needs to be settled before launch.
5. 34MCP: The Model Context Protocol ExplainedAdvancedMCP is the standard AI systems use to connect to tools and data. What's behind it, where you'll encounter it — and what to watch for when connecting it.
6. 35Vibe Coding: Building Software Through AI DialogueAdvancedDescribing software instead of writing it: vibe coding works surprisingly well for prototypes and surprisingly poorly for everything that comes after.

Rolling out AI, developing strategy and guidelines, and upskilling your team.

1. 36Introducing AI in Your Company: The RoadmapIntermediateAI rarely fails because of the technology — it fails due to a lack of prioritization and follow-through. This roadmap guides you from the maturity check through the pilot project to the rollout.
2. 37Developing an AI StrategyAdvancedAn AI strategy isn't a tool catalog — it's a decision logic: which goals, which use cases, which build depth, which rules, and how you measure success.
3. 38AI in Marketing: Use Cases and WorkflowsIntermediateNot an overview article, but a working guide: four marketing workflows step by step, the right tool stack, and the checkpoints that go with them.
4. 39Marketing Automation: Fundamentals and ToolsIntermediateAutomated journeys don't replace strong messaging — they scale it. This article covers structure, scoring, tool selection, and where AI genuinely adds value.
5. 40ChatGPT for Business: Team & Enterprise OverviewIntermediateBusiness ChatGPT plans differ less in raw performance than in contract, administration, and data protection. This article shows what that means in practice.
6. 41AI Policy for Companies: Guide with TemplateIntermediateAn AI policy defines what's allowed — not just what's forbidden. This guide provides the complete template structure along with ready-to-use wording.
7. 42AI Training: Paths to AI KnowledgeBeginnerFrom IHK certification to self-paced courses: this overview shows which type of AI training fits which goal – and how teams can approach it systematically.

The EU AI Act, data protection, hallucinations, and AI detection — firmly under control.

1. 43The EU AI Act Explained SimplyIntermediateThe EU AI Act is the world's first comprehensive AI law. This overview covers the risk classes, the obligations by role, and what it practically means for your business.
2. 44The Training Obligation Under Article 4 of the EU AI ActIntermediateSince February 2025, the EU AI Act has required adequate AI literacy from everyone who works professionally with AI. What that means in practice — and how to meet it in a way you can demonstrate.
3. 45AI and Data Protection: Working GDPR-CompliantIntermediateAI tools process data — often on servers outside the EU. This guide shows you what the GDPR requires and how to roll out AI at your company in a legally sound way.
4. 46AI Hallucinations: Why AI Invents FactsIntermediateAI models invent sources, numbers, and quotes — phrased convincingly and without any warning sign. This deep dive explains the causes and shows you how to systematically reduce the risk.
5. 47Detecting AI Content: Detectors and Their LimitsBeginnerAI detectors promise certainty but deliver probabilities. This article explains how they work, where they fail, and what actually helps instead.